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PySpark Cookbook : Over 60 Recipes for Implementing Big Data Processing and Analytics Using Apache Spark and Python.
This cookbook presents recipes on leveraging the power of Python and putting it to use in the Apache Spark ecosystem. By the end of this book, you will be able to solve any problem associated with building effective, data-intensive applications and performing machine learning and structured streamin...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Drabas, Tomasz. | |
| 245 | 1 | 0 | |a PySpark Cookbook : |b Over 60 Recipes for Implementing Big Data Processing and Analytics Using Apache Spark and Python. |
| 260 | |a Birmingham : |b Packt Publishing Ltd, |c 2018. | ||
| 300 | |a 1 online resource (321 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Installing and Configuring Spark; Introduction; Installing Spark requirements; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Installing Java; Installing Python; Installing R; Installing Scala; Installing Maven; Updating PATH; Installing Spark from sources; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Installing Spark from binaries; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Configuring a local instance of Spark. | |
| 505 | 8 | |a Getting readyHow to do it ... ; How it works ... ; See also; Configuring a multi-node instance of Spark; Getting ready; How to do it ... ; How it works ... ; See also; Installing Jupyter; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Configuring a session in Jupyter; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Working with Cloudera Spark images; Getting ready; How to do it ... ; How it works ... ; Chapter 2: Abstracting Data with RDDs; Introduction; Creating RDDs; Getting ready ; How to do it ... ; How it works ... | |
| 505 | 8 | |a Spark context parallelize method.take(...) method; Reading data from files; Getting ready ; How to do it ... ; How it works ... ; .textFile(...) method; .map(...) method; Partitions and performance; Overview of RDD transformations; Getting ready; How to do it ... ; .map(...) transformation; .filter(...) transformation; .flatMap(...) transformation; .distinct() transformation; .sample(...) transformation; .join(...) transformation; .repartition(...) transformation; .zipWithIndex() transformation; .reduceByKey(...) transformation; .sortByKey(...) transformation; .union(...) transformation. | |
| 505 | 8 | |a .MapPartitionsWithIndex(...) transformationHow it works ... ; Overview of RDD actions; Getting ready; How to do it ... ; .take(...) action; .collect() action; .reduce(...) action; .count() action; .saveAsTextFile(...) action; How it works ... ; Pitfalls of using RDDs; Getting ready; How to do it ... ; How it works ... ; Chapter 3: Abstracting Data with DataFrames; Introduction; Creating DataFrames; Getting ready; How to do it ... ; How it works ... ; There's more ... ; From JSON; From CSV; See also; Accessing underlying RDDs; Getting ready; How to do it ... ; How it works ... ; Performance optimizations. | |
| 505 | 8 | |a Getting readyHow to do it ... ; How it works ... ; There's more ... ; See also; Inferring the schema using reflection; Getting ready; How to do it ... ; How it works ... ; See also; Specifying the schema programmatically; Getting ready; How to do it ... ; How it works ... ; See also; Creating a temporary table; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Using SQL to interact with DataFrames; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Overview of DataFrame transformations; Getting ready; How to do it ... ; The .select(...) transformation. | |
| 500 | |a The .filter(...) transformation. | ||
| 520 | |a This cookbook presents recipes on leveraging the power of Python and putting it to use in the Apache Spark ecosystem. By the end of this book, you will be able to solve any problem associated with building effective, data-intensive applications and performing machine learning and structured streaming using PySpark. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a SPARK. | |
| 650 | 0 | |a Python. | |
| 650 | 0 | |a Application software |x Development. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 7 | |a Data capture & analysis. |2 bicssc | |
| 650 | 7 | |a Database design & theory. |2 bicssc | |
| 650 | 7 | |a Information architecture. |2 bicssc | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a Computers |x Data Modeling & Design. |2 bisacsh | |
| 650 | 7 | |a Computers |x Data Processing. |2 bisacsh | |
| 650 | 7 | |a Computers |x Programming Languages |x Python. |2 bisacsh | |
| 650 | 7 | |a Application software |x Development |2 fast | |
| 700 | 1 | |a Lee, Denny. | |
| 758 | |i has work: |a PYSPARK COOKBOOK (Text) |1 https://id.oclc.org/worldcat/entity/E39PCXQ7hPQ8wHBTf4VfGHbPgq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Drabas, Tomasz. |t PySpark Cookbook : Over 60 Recipes for Implementing Big Data Processing and Analytics Using Apache Spark and Python. |d Birmingham : Packt Publishing Ltd, ©2018 |z 9781788835367 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5446040 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL5446040 | ||
| 994 | |a 92 |b IZTAP | ||